Overhead-Performance Tradeoffs in Distributed Wireless Networks

Abstract

This project studied the tradeoff between the performance of resource and link controllers in distributed wireless networks and the amount of overhead measurement and control information utilized by the controllers. The key novel idea guiding the research was to view the control signals as messages in a distributed lossy source code, and the overhead performance tradeoff as a rate distortion curve. The project began by motivating the importance of the problem by authoring a thorough review of resource control signaling in the 4G cellular standards, which observed that roughly a quarter to a third of all downlink time-frequency resources are spent on non-information bearing control information that is not efficiently encoded. Three simple resource controllers were then investigated, and their overhead performance rate distortion function was calculated using a novel adaptation of the Blahut Arimoto algorithm to the CEO problem with independent sources. Practical source compressors and quantizers for both interactive and non-interactive control scenarios were developed that approached the associated fundamental limits. Extensions to controllers for multiuser MIMO communications and joint source channel codes for the control information were also considered.

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Document Details

Document Type
Technical Report
Publication Date
Jun 26, 2015
Accession Number
ADA621199

Entities

People

  • Javier Garcia-frias
  • John M. Walsh
  • Leonard J. Cimini
  • Steven P. Weber

Organizations

  • University of Delaware

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • 4G Wireless Networks
  • Algorithms
  • Code Division Multiple Access
  • Communication Networks
  • Compressors
  • Computer Programs
  • Frequency
  • Heterogeneous Networks
  • Information Science
  • Information Theory
  • Measurement
  • Modulation
  • Multiple Access
  • Multiple Input Multiple Output
  • Signal Processing
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computer Networking
  • Radio communications and signal processing.
  • Robotics and Automation.